Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis
Yukihiro Nagatani, Masashi Takahashi, Kiyoshi Murata, Mitsuru Ikeda, Tsuneo Yamashiro, Tetsuhiro Miyara, Hisanobu Koyama, Mitsuhiro Koyama, Yukihisa Sato, Hiroshi Moriya, Satoshi Noma, Noriyuki Tomiyama, Yoshiharu Ohno, Sadayuki Murayama, investigators of ACTIve study group, Hiroshi Moriya, Kotaro Sakuma, Mitsuhiro Koyama, Osamu Honda, Noriyuki Tomiyama, Hisanobu Koyama, Yoshiharu Ohno, Kazuro Sugimura, Ryo Sakamoto, Yuko Nishimoto, Satoshi Noma, Katsuya Kato, Tetsuhiro Miyara, Tsuneo Yamashiro, Hisashi Kamiya, Ayano Kamiya, Yuko Tanaka, Sadayuki Murayama, Yukihiro Nagatani, Norihisa Nitta, Masashi Takahashi, Kiyoshi Murata, Yukihiro Nagatani, Masashi Takahashi, Kiyoshi Murata, Mitsuru Ikeda, Tsuneo Yamashiro, Tetsuhiro Miyara, Hisanobu Koyama, Mitsuhiro Koyama, Yukihisa Sato, Hiroshi Moriya, Satoshi Noma, Noriyuki Tomiyama, Yoshiharu Ohno, Sadayuki Murayama, investigators of ACTIve study group, Hiroshi Moriya, Kotaro Sakuma, Mitsuhiro Koyama, Osamu Honda, Noriyuki Tomiyama, Hisanobu Koyama, Yoshiharu Ohno, Kazuro Sugimura, Ryo Sakamoto, Yuko Nishimoto, Satoshi Noma, Katsuya Kato, Tetsuhiro Miyara, Tsuneo Yamashiro, Hisashi Kamiya, Ayano Kamiya, Yuko Tanaka, Sadayuki Murayama, Yukihiro Nagatani, Norihisa Nitta, Masashi Takahashi, Kiyoshi Murata
Abstract
Purpose: To compare lung nodule detection performance (LNDP) in computed tomography (CT) with adaptive iterative dose reduction using three dimensional processing (AIDR3D) between ultra-low dose CT (ULDCT) and low dose CT (LDCT).
Materials and methods: This was part of the Area-detector Computed Tomography for the Investigation of Thoracic Diseases (ACTIve) Study, a multicenter research project being conducted in Japan. Institutional Review Board approved this study and informed consent was obtained. Eighty-three subjects (body mass index, 23.3 ± 3.2) underwent chest CT at 6 institutions using identical scanners and protocols. In a single visit, each subject was scanned using different tube currents: 240, 120 and 20 mA (3.52, 1.74 and 0.29 mSv, respectively). Axial CT images with 2-mm thickness/increment were reconstructed using AIDR3D. Standard of reference (SOR) was determined based on CT images at 240 mA by consensus reading of 2 board-certificated radiologists as to the presence of lung nodules with the longest diameter (LD) of more than 3mm. Another 5 radiologists independently assessed and recorded presence/absence of lung nodules and their locations by continuously-distributed rating in CT images at 20 mA (ULDCT) and 120 mA (LDCT). Receiver-operating characteristic (ROC) analysis was used to evaluate LNDP of both methods in total and also in subgroups classified by LD (>4, 6 and 8 mm) and nodular characteristics (solid and ground glass nodules).
Results: For SOR, 161 solid and 60 ground glass nodules were identified. No significant difference in LNDP for entire solid nodules was demonstrated between both methods, as area under ROC curve (AUC) was 0.844 ± 0.017 in ULDCT and 0.876 ± 0.026 in LDCT (p=0.057). For ground glass nodules with LD 8mm or more, LNDP was similar between both methods, as AUC 0.899 ± 0.038 in ULDCT and 0.941 ± 0.030 in LDCT. (p=0.144).
Conclusion: ULDCT using AIDR3D with an equivalent radiation dose to chest x-ray could have comparable LNDP to LDCT with AIDR3D except for smaller ground glass nodules in cases with normal range body habitus.
Keywords: Adaptive iterative dose reduction; Chest; Computed tomography; Image quality; Ultra-low dose scanning.
Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.
Source: PubMed